A Survey on Detect and Localize Text in Natural Scene Image with Wavelet Transform

Palash M. Gourshettiwar; Sunny G. Gandhi

Text information in natural scene images serves as important clues for many image-based applications such as scene understanding, content-based image analysis. However, locating text from a complex background, multiple text appearances, variations of text font, size and line orientation. Here present a detect and localize text in natural scene images with wavelet transform. First, a wavelet transform is applied to the image and the distribution of high-frequency wavelet coefficients is considered to statistically characterize text and non-text areas. A text region detector is designed to estimate the text existing confidence and scale information in image pyramid, which help segment candidate text components by local binarization and efficiently filter out the non-text components from the image.

Select Volume / Issues:

• Volume 5 Issue 1, Jan. 2014

Year:

2014

Type of Publication:

Article

Keywords:

Wavelet Transform; Conditional Random Field CRF; Text Detection; Text Localization

Journal:

IJECCE

Volume:

5

Number:

1

Pages:

59-62

Month:

January